
201 - 500 funcionários
Fundada em 2012
📚 Educação
☁️ SaaS
🤖 Inteligência Artificial
💰 $60.000.000 Series C - Panorama Education em 2021-09
Education • SaaS • Artificial Intelligence
A Panorama Education é uma empresa de tecnologia educacional que oferece uma plataforma SaaS com inteligência artificial para distritos escolares do ensino básico e secundário (K–12) a fim de coletar pesquisas, gerenciar o Sistema de Apoios de Múltiplos Níveis (MTSS), monitorar comportamento e frequência, além de personalizar instruções e intervenções. Suas ofertas—como Panorama Solara, Student Success (MTSS) e Surveys & Engagement—combinam análise de dados, IA segura gerenciada por distritos e desenvolvimento profissional para ajudar educadores a identificar necessidades, planejar ações direcionadas e medir resultados dos alunos, mantendo a privacidade e a conformidade.
🕒 Setembro 16
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $194.051 - $285.369 / ano
⏰ Tempo Integral
🟠 Sênior
👮♀️ Gerente de Engenharia de Software
🦅 Patrocina Visto H1B
👻 Score fantasma 4%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Panorama Education, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Setembro 16
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201 - 500 funcionários
Fundada em 2012
📚 Educação
☁️ SaaS
🤖 Inteligência Artificial
💰 $60.000.000 Series C - Panorama Education em 2021-09
Education • SaaS • Artificial Intelligence
A Panorama Education é uma empresa de tecnologia educacional que oferece uma plataforma SaaS com inteligência artificial para distritos escolares do ensino básico e secundário (K–12) a fim de coletar pesquisas, gerenciar o Sistema de Apoios de Múltiplos Níveis (MTSS), monitorar comportamento e frequência, além de personalizar instruções e intervenções. Suas ofertas—como Panorama Solara, Student Success (MTSS) e Surveys & Engagement—combinam análise de dados, IA segura gerenciada por distritos e desenvolvimento profissional para ajudar educadores a identificar necessidades, planejar ações direcionadas e medir resultados dos alunos, mantendo a privacidade e a conformidade.
• Lead and grow a team of senior and staff-level platform engineers • Set expectations, provide direct feedback, and maintain team execution • Guide technical direction across infrastructure, shared services, and system design • Partner with staff engineers on architecture and technical tradeoffs • Ship platform initiatives from planning through production • Define and improve platform health, including performance, resiliency, cost efficiency, and operational maturity • Build on-call and incident practices with SRE • Triage reactive work while maintaining strategic priorities • Partner with AI platform and security teams on observable, cost-aware, and secure AI infrastructure • Support adoption of AI-assisted development tools and workflows • Shape the roadmap with the Lead Product Manager • Translate strategy into buildable, well-scoped plans • Represent platform engineering across teams and drive alignment on multi-team initiatives • Provide leadership updates on progress, risk, and technical investment • Partner with security and legal on security, privacy, compliance, and student-data obligations
• 8+ years of software engineering experience, including 5+ years managing engineers, ideally on platform, infrastructure, or developer experience teams • Track record of managing and growing senior and staff-level ICs • Technical credibility with senior and staff engineers • Hands-on AWS background strongly preferred • Terraform and Kubernetes a significant plus • Proven success partnering with a product counterpart to deliver on a shared roadmap • Experience building alignment across engineering, security, and operations • Delivery and scope discipline • Developer experience focus, including CI/CD, internal tooling, and self-service infrastructure • Experience with security and compliance frameworks such as SOC 2 and FERPA • Strong command of data protection and privacy practices • Experience with monitoring and observability at scale • Familiarity with infrastructure demands of AI workloads • Experience helping engineering teams adopt AI-assisted tools and workflows • Degree in Computer Science, Engineering, or a related field is a plus
• Annual bonuses or commission awards • Equity awards • Region-specific health and welfare benefits • 401K with an employer match • Health, dental, vision, life insurance, and short-term and long-term disability coverage • Flexible spending account for health care and dependent care • Wellness Reimbursement • Work from Home Reimbursement • Flexible vacation policy • Parental leave program • Company Issued Laptop
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🕒 Setembro 16
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